Papers

4

Total Citations

43

H-Index

3

About

Marco Riboli is a robotics researcher specializing in motion planning and trajectory optimization for robotic systems, with a particular focus on dual-arm and gantry robot architectures. His work centers on developing mathematically rigorous yet practically deployable solutions to some of the most challenging problems in industrial robotics, including self-collision avoidance and smooth, efficient motion generation. Riboli's most influential contribution, "Collision-free and smooth motion planning of dual-arm Cartesian robot based on B-spline representation" (2023), has garnered 27 citations and introduced a novel framework that simultaneously ensures collision-free operation and G2-continuity — a critical requirement for smooth, low-jerk robot motion in manufacturing environments. His subsequent work has extended these ideas through time-parameterized B-spline frameworks for joint trajectory planning and robust collision-free motion generation for dual-gantry systems in pick-and-place applications, accumulating additional recognition across the robotics community. A unifying thread throughout Riboli's research is the elegant application of B-spline mathematics to real-world robotic constraints. With a growing body of work and over 40 combined citations, he represents an emerging voice in advanced robot motion planning whose contributions are increasingly relevant to automation researchers and engineers tackling next-generation manufacturing challenges.

Research Focus

Key Achievements

3
H-Index
4
Papers
43
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Collision-free and smooth motion planning of dual-arm Cartesian robot based on B-spline representation
27 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: University of Parma, University of Applied Sciences and Arts of Southern Switzerland

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago